Learn how to build an open-domain question-answering (ODQA) AI system in Python. Explore the fundamentals of natural language processing for semantic search, including retriever models, fine-tuning techniques, and evaluation methods. Discover how to set up a vector database, implement querying functionality, and create human-like Q&A interfaces. Gain insights into the importance of ODQA systems, training data preparation, and the use of tools like Pinecone for efficient information retrieval.